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Artificial Intelligence In Medicine Jobs (NOW HIRING)

Mass General Brigham

Pre-Doctoral Fellow

Boston, MA · On-site

$37K - $68K/yr

Job Summary Predoctoral Researcher in Deep Learning for Cancer Care The Brigham Health Artificial Intelligence in Medicine (AIM) program and Harvard Medical School in Boston, MA is seeking a pre ...

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How much do artificial intelligence in medicine jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for artificial intelligence in medicine in the United States is $117.61, according to ZipRecruiter salary data. Most workers in this role earn between $58.17 and $192.31 per hour, depending on experience, location, and employer.

What is artificial intelligence in medicine?

Artificial intelligence in medicine refers to the use of advanced algorithms and machine learning techniques to analyze complex medical data and assist in decision-making processes. AI can help with tasks such as diagnosing diseases, predicting patient outcomes, personalizing treatment plans, and managing healthcare operations. The goal is to improve accuracy, efficiency, and patient care while reducing costs and human error. AI is increasingly being integrated into various medical fields, from radiology to drug discovery.

What are some typical challenges faced by professionals working in artificial intelligence in medicine and how can they be addressed?

Professionals in Artificial Intelligence in Medicine often encounter challenges related to data privacy, integration of AI systems into existing clinical workflows, and ensuring the reliability and interpretability of AI models. Navigating regulatory requirements and gaining the trust of healthcare providers can also be demanding. Addressing these challenges typically involves collaborating closely with clinicians, data scientists, and IT teams, as well as staying updated on industry standards and regulatory changes. Continuous professional development and open communication within multidisciplinary teams are key strategies for success in this evolving field.

What are the key skills and qualifications needed to thrive in artificial intelligence in medicine and why are they important?

To thrive in Artificial Intelligence in Medicine, you need strong foundations in computer science, machine learning, and biomedical sciences, often supported by advanced degrees in these fields. Familiarity with programming languages like Python, AI frameworks (such as TensorFlow or PyTorch), and medical data systems is essential, and certifications in data science or health informatics are beneficial. Critical thinking, interdisciplinary collaboration, and effective communication are standout soft skills for this role. These skills ensure the safe and impactful integration of AI solutions to improve patient outcomes and advance medical research.

What is the difference between Artificial Intelligence In Medicine vs Medical Data Scientist?

AspectArtificial Intelligence In MedicineMedical Data Scientist
Required CredentialsBackground in AI, computer science, healthcareBackground in data science, statistics, healthcare
Work EnvironmentHospitals, research institutions, healthcare tech companiesResearch labs, healthcare organizations, biotech firms
Employer & Industry UsageDevelops AI tools for diagnosis, treatment, and patient monitoringAnalyzes healthcare data to inform clinical decisions and research

Artificial Intelligence In Medicine focuses on creating AI systems to improve healthcare delivery, while Medical Data Scientists analyze healthcare data to support clinical and research decisions. Both roles require a strong background in data and healthcare, but AI In Medicine emphasizes developing intelligent algorithms, whereas Medical Data Scientists focus on data analysis and interpretation.

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Artificial Intelligence In Medicine jobs near you
Infographic showing various Artificial Intelligence In Medicine job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $244,631 per year, or $117.6 per hour.

Artificial Intelligence SME

Tunnell Government Services

Washington, DC • On-site

Full-time

Re-posted 13 days ago

Job description

Tunnell Government Services, Inc., is comprised of the industry's leading scientists, medical and technical experts, and human capital and organizational development professionals. We approach all projects as a team and are committed to helping our clients transform and quickly achieve strategic goals. If you are interested in joining an employee-owned company that develops and implements innovative, integrated and differentiated solutions, please click on the links below to find the job that is right for you and contact us.
Artificial Intelligence SME
A Subject Matter Expert (SME) in artificial intelligence with a focus on healthcare and biomedical research is needed to provide contracted support to the Biomedical Advanced Research and Development Authority (BARDA), within the U.S. Department of Health and Human Services (HHS) in Washington, DC. The mission of BARDA is to develop and procure medical countermeasures (MCM) that address the public health and medical consequences of chemical, biological, radiological, and nuclear (CBRN) accidents, incidents and attacks, pandemic influenza, and emerging infectious diseases. Specifically, BARDA supports the advanced development and procurement of drugs, vaccines and other products that are considered priorities for national health security. For more information on BARDA please visit their website at: http://www.phe.gov/about/BARDA/Pages/default.aspx
Specifically, this individual will provide strategic, technical, and scientific expertise on the application of artificial intelligence (AI), machine learning (ML), and advanced data analytics to BARDA's mission of developing and procuring medical countermeasures (MCMs) for public health emergencies. The AI SME will advise leadership, program managers, and technical teams on the integration of AI technologies across BARDA's programs, ensuring the agency remains at the forefront of innovation in biodefense, pandemic preparedness, and health security.
Major Duties & Responsibilities:
  • Advise BARDA leadership on emerging trends, opportunities, and risks in AI and related technologies for vaccines and/or therapeutics development.
  • Provide subject matter expertise to BARDA divisions in evaluating AI-enabled technologies, tools, and proposals.
  • Assess AI approaches used in diagnostics, therapeutics, and vaccines including review of algorithms and algorithm performance
  • Guide the design, implementation, and validation of AI applications to ensure scientific rigor, transparency, and compliance with federal policies.
  • Contribute to the formulation of policies, standards, and ethical frameworks governing AI use within BARDA.
  • Perform expert analysis and provide recommendations for applications of machine learning/artificial intelligence tools and capabilities to field of biotech research and development (e.g. digital health, drug discovery and design, clinical validation).
  • Evaluating diverse data sets for use with AI products/tools, such as EHR, claims, laboratory/clinical data, physiological data, genomic data, viral variant data, and/or social determinants of health data.
  • Advising on improvements to data collection and curation, developing standards, and developing data use and sharing agreements to enable AI applications
  • Advising R&D partnerships developing artificial intelligence products/tools to improve model function, design clinical validation studies, and implement production deployment and maintenance processes.

Requirements:
  • Advanced degree (Ph.D. or M.S) in Computer Science, Data Science, Engineering, Bioinformatics, or a related field
  • 15+ years of experience in vaccines and/or therapeutics development
  • Minimum of 8-10 years of experience applying AI/ML in healthcare, biomedical research, or health security contexts
  • Demonstrated expertise in algorithm development, data modeling, and AI governance
  • Demonstrated ability to communicate complex AI concepts to diverse stakeholders
  • Demonstrated experience serving as technical expert and leader in machine learning/artificial intelligence, data analytics, and algorithm development using medical and/or biological data.
  • Demonstrated understanding of software development principles and cloud-based platforms and services relevant to AI development.
  • Expertise in understanding artificial intelligence model function, clinical validation, production deployment, and ongoing maintenance

Must be a US Citizen or Full Green Card holder.
Tunnell strives to hire and retain the most qualified talent. We believe that having employees with different backgrounds and capabilities contributes to the success of our business. To attract qualified applicants, Tunnell posts to a wide variety of job sites. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Please be advised that certain client contracts may outline specific requirements for onsite work. Tunnell employees and/or contractors are expected to comply with all client requirements, including any safety and health protocols.

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